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JMLR
2006
156views more  JMLR 2006»
14 years 9 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
ML
2006
ACM
121views Machine Learning» more  ML 2006»
14 years 9 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
ER
2005
Springer
140views Database» more  ER 2005»
15 years 3 months ago
Schema Integration Based on Uncertain Semantic Mappings
Abstract. Schema integration is the activity of providing a unified representation of multiple data sources. The core problems in schema integration are: schema matching, i.e. the...
Matteo Magnani, Nikos Rizopoulos, Peter McBrien, D...
JODS
2008
179views Data Mining» more  JODS 2008»
14 years 9 months ago
A Cooperative Approach for Composite Ontology Mapping
This paper proposes a cooperative approach for composite ontology mapping. We first present an extended classification of automated ontology matching and propose an automatic compo...
Cássia Trojahn dos Santos, Márcia Cr...
ICPR
2008
IEEE
15 years 4 months ago
Non-linear feature extraction by linear PCA using local kernel
This paper presents how to extract non-linear features by linear PCA. KPCA is effective but the computational cost is the drawback. To realize both non-linearity and low computati...
Kazuhiro Hotta